Dynamic adjustment of predetermined three-dimensional video settings based on scene content

ABSTRACT

Predetermined three-dimensional video parameter settings may be dynamically adjusted based on scene content. One or more three-dimensional characteristics associated with a given scene may be determined. One or more scale factors may be determined from the three-dimensional characteristics. The predetermined three-dimensional video parameter settings can be adjusted by applying the scale factors to the predetermined three-dimensional video parameter settings. The scene may be displayed on a three-dimensional display using the resulting adjusted set of predetermined three-dimensional video parameters.

CLAIM OF PRIORITY

This application is a continuation of commonly-assigned co-pendingapplication Ser. No. 12/986,814 filed Jan. 7, 2011, the entire contentsof which are incorporated herein by reference.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is related to commonly-assigned co-pending applicationSer. No. 12/986,827 filed Jan. 7, 2011, now U.S. Pat. No. 8,514,225.

This application is related to commonly-assigned co-pending applicationSer. No. 12/986,854 filed Jan. 7, 2011, now U.S. Pat. No. 8,619,094.

This application is related to commonly-assigned co-pending applicationSer. No. 12/986,827 filed Jan. 7, 2011.

FIELD OF INVENTION

Embodiments of the present invention are related to a dynamic adjustmentof user-determined three-dimensional scene settings.

BACKGROUND OF INVENTION

The ability to perceive two-dimensional images in three-dimensions byway of numerous different technologies has grown quite popular over thepast few years. Providing an aspect of depth to two-dimensional imagespotentially creates a greater sense of realism to any depicted scene.This introduction of three-dimensional visual representation has greatlyenhanced viewer experiences, especially in the realm of video games.

A number of techniques exist for the three-dimensional rendering of agiven image. Most recently, a technique for projecting a two-dimensionalimage(s) into three-dimensional space known as depth-image-basedrendering (DIBR) has been proposed. In contrast to former proposals,which often relied on the basic concept of “stereoscopic” video, i.e.,the capturing, transmission, and display of two separate videostreams—one for the left eye and one for the right eye-, this new ideais based on a more flexible joint transmission of monoscopic video(i.e., single video stream) and associated per-pixel depth information.From this data representation, one or more “virtual” views of the 3-Dscene can then be generated in real-time at the receiver side by meansof so-called DIBR techniques. This new approach to three-dimensionalimage rendering presents several advantages over previous approaches.

First, this approach allows 3-D projection or display to be adjusted tofit a wide range of different stereoscopic displays and projectionsystems. Because the required left- and right-eye views are onlygenerated at the 3D-TV receiver, their appearance in terms of ‘perceiveddepth’ can be adapted to the particular viewing conditions. Thisprovides the viewer with a customized 3-D experience that is comfortableto watch on any kind of stereoscopic or autostereoscopic 3D-TV display.

DIBR also allows for 2D-to-3D conversion based on “structure frommotion” approaches that can be used to generate the required depthinformation for already recorded monoscopic video material. Thus, 3Dvideo can be generated from 2D video for a wide range of programming,which could play a significant role in the success of 3D-TV.

Head motion parallax (i.e., apparent displacement or difference in theperceived position of an object caused by change in viewing angle) canbe supported under DIBR to provide an additional extrastereoscopic depthcue. This eliminates the well-known “shear-distortions” (i.e.,stereoscopic image appears to follow the observer when the observerchanges viewing position) that are usually experienced withstereoscopic- or autostereoscopic 3D-TV systems.

Furthermore, photometrical asymmetries, e.g., in terms of brightness,contrast or color, between the left- and the right-eye view, which candestroy the stereoscopic sensation, are eliminated from the first, asboth views are effectively synthesized from the same original image.Also, it enables automatic object segmentation based on depth-keying andallows for an easy integration of synthetic 3D objects into “real-world”sequences.

Lastly, this approach allows the viewer to adjust the reproduction ofdepth to suit his/her personal preferences—much like every conventional2D-TV set allows the viewer to adjust the color reproduction by means ofa (de-)saturization control. This is a very important feature becausethere is a difference in depth appreciation over age groups. A recentstudy by Norman et al., for example, demonstrated that older adults wereless sensitive than younger adults to perceiving stereoscopic depth.

While each viewer may have a unique set of preferred depth settings, sotoo does each scene presented to the viewer. The content of each scenedictates what range of depth settings should be used for optimal viewingof the scene. One set of re-projection parameters may not be ideal forevery scene. For example, different parameters may work better dependinghow much of the distant background is in the field of view. Because thecontent of a scene changes each time a scene changes, existing 3Dsystems do not take the content of a scene when determiningre-projection parameters.

It is within this context that the embodiments of the present inventionarise.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A is a flow/schematic diagram illustrating a method for dynamicadjustment of user-determined three-dimensional scene settings accordingto an embodiment of the present invention.

FIG. 1B is a schematic diagram illustrating the basic concept ofthree-dimensional re-projection.

FIG. 1C is a simplified diagram illustrating an example of virtualcamera adjustment of 3D video settings according to an embodiment of thepresent invention.

FIG. 1D is simplified diagram illustrating an example of mechanicalcamera adjustment of 3D video settings according to an embodiment of thepresent invention.

FIGS. 2A-2B are schematic diagrams illustrating the problem of auser-controlled virtual object penetrating an element of a virtual worldin a three-dimensional scene.

FIG. 2C is a schematic diagram illustrating scaling of pixel depthvalues to solve the problem of a user-controlled virtual objectpenetrating an element of a virtual world in a three-dimensional scene.

FIG. 3 is a flow diagram illustrating a method for scaling pixel depthvalues of a user-controlled virtual object in a three-dimensional sceneaccording to an embodiment of the present invention.

FIG. 4 is a block diagram illustrating an apparatus for implementingdynamic adjustment of user-determined three-dimensional scene settingsand/or scaling pixel depth values of a user-controlled virtual object ina three-dimensional scene according to embodiments of the presentinvention.

FIG. 5 is a block diagram illustrating an example of a cell processorimplementation of an apparatus for implementing dynamic adjustment ofuser-determined three-dimensional scene settings and/or scaling pixeldepth values of a user-controlled virtual object in a three-dimensionalscene according to embodiments of the present invention.

FIG. 6A illustrates an example of a non-transitory computer-readablestorage medium with instructions for implementing dynamic adjustment ofuser-determined three-dimensional scene settings according to anembodiment of the present invention.

FIG. 6B illustrates an example of a non-transitory computer-readablestorage medium with instructions for implementing scaling pixel depthvalues of a user-controlled virtual object in a three-dimensional sceneaccording to an embodiment of the present invention.

FIG. 7 is an isometric view of three-dimensional viewing glasses inaccordance with an aspect of the invention.

FIG. 8 is a system level block diagram of three-dimensional viewingglasses in accordance with an aspect of the invention.

DESCRIPTION OF THE SPECIFIC EMBODIMENTS

For any viewer of a projected three-dimensional image, severalcharacteristics/cues govern their perception of depth. Each viewer'sability to perceive depth in a three-dimensional projection is unique totheir own pair of eyes. Certain cues can provide certain depthcharacteristics associated with a given scene to a viewer. By way ofexample, and not by way of limitation, these binocular cues may includestereopsis, convergence, and shadow stereopsis.

Stereopsis refers to a viewer's ability to judge depth by processinginformation derived from the different projection of objects onto eachretina. By using two images of the same scene obtained from slightlydifferent angles, it is possible to triangulate the distance to anobject with a high degree of accuracy. If an object is far away, thedisparity of that image falling on both retinas will be small. If theobject is close or near, the disparity will be large. By adjusting theangular difference between the different projections of the same scene,a viewer may be able to optimize his perception of depth.

Convergence is another binocular cue for depth perception. When two eyeballs focus on the same object, they converge. This convergence willstretch extraocular muscles. It is the kinesthetic sensations of theseextraocular muscles that aid in the perception of depth. The angle ofconvergence is smaller when the eye is fixating on far away objects, andgreater when focusing on nearer objects. By adjusting the convergence ofthe eyes for a given scene, a viewer may be able to optimize hisperception of depth.

Shadow stereopsis refers to the stereoscopic fusing of shadows to impartdepth on a given scene. Amplifying or diminishing the intensity of ascene's shadows may further optimize a viewer's perception of depth.

By adjusting scene settings associated with these binocular cues, aviewer may optimize his general three-dimensional perception of depth.While a given user may be able to select a general set ofthree-dimensional scene settings for viewing of all scenes, each sceneis unique and as such certain visual cues/user settings may need to bedynamically adjusted depending on the contents of that particular scene.For example, in the context of a virtual world, it may be important fora viewer to focus on a particular object in a given scene. However, theviewer's pre-determined three-dimensional scene settings may not be themost favorable for viewing that particular object. Here, the viewer'ssettings would be dynamically adjusted according to the scene such thatthe particular object is perceived under a more optimal set ofthree-dimensional scene settings.

FIG. 1A is a flow diagram illustrating a method for dynamic adjustmentof user-determined three-dimensional scene settings according to anembodiment of the present invention. Initially, a viewer 115communicates with a processor 113 configured to stream three-dimensionalvideo data to a visual display 111. The processor 113 may be in the formof a video game console, computer apparatus, or any other device capableof processing three-dimensional video data. By way of example, and notby way of limitation, the visual display 111 may be in the form of a 3-Dready television set that displays text, numerals, graphical symbols orother visual objects as stereoscopic images to be perceived with a pairof 3-D viewing glasses 119. An example of 3-D viewing glasses isdepicted in FIGS. 7-8 and described in detail below. The 3-D viewingglasses 119 may be in the form of active liquid crystal shutter glasses,active “red eye” shutter glasses, passive linearly polarized glasses,passive circularly polarized glasses, interference filter glasses,complementary color anaglyphs, or any other pair of 3-D viewing glassesconfigured to view images projected by the visual display 111 inthree-dimensions. The viewer 115 may communicate with the processor 113by way of a user interface 117, which may take on the form of ajoystick, controller, remote, keyboard, or any other device that may beused in conjunction with a graphical user interface (GUI).

The viewer 115 may initially select a group of general three-dimensionalvideo settings to be applied to every three-dimensional scene presentedto the viewer 115. By way of example, and not by way of limitation, theviewer may select the outer boundaries of depth within which athree-dimensional scene is projected. As additional examples, a user mayset predetermined values for stereopsis, convergence, or shadowstereopsis. Furthermore, if a user does not set predetermined values forthese parameters, the predetermined values may be factory-set defaultvalues.

Examples of other 3D video parameter settings that could be set by theuser and dynamically adjusted based on scene content include, but arenot limited to, both the 3D depth effect and the 3D range. The depthcontrols how much 3D effect is apparent to the user. The outerboundaries of depth essentially represent the range and parallax (ourdepth and effect sliders). In implementations involving re-projection,the projection curve can be adjusted as described below. The adjustmentto the re-projection curve can be an adjustment to the nature of theshape of the re-projection curve, which can be linear, or perhaps Sshaped to emphasize the center. In addition, the parameters of the shapecan be adjusted. By way of example, and not by way of limitation, for alinear re-projection curve, the end points or slope can be adjusted. Foran S-shaped re-projection curve, adjustment can be made to how fast theS ramps, etc.

In other embodiments involving re-projection some sort of edge fuzzinesscan be provided for patching the holes and the viewer 115 could drivethat. In addition, embodiments of the present invention usingre-projection or other means can be applied to driving color contrast tohelp reduce ghosting—allowing a per scene adjustment based off the userscale. Furthermore, in case not involving re-projection, the user couldadjust the scaling of how far apart the input cameras would be or slighttweaks to the camera angles. Other camera settings that could beadjusted on a per-scene basis include depth of field settings or cameraaperture.

Because viewer(s) 115 perceive three-dimensional visual representationsdifferently, different viewers may have different combinations ofgeneral three-dimensional scene settings according to their preferences.For example, studies have demonstrated that older adults were lesssensitive than younger adults to perceiving stereoscopic depth, and assuch older adults may benefit from scene settings that augment theperception of depth. Similarly, younger adults may find that settingsthat reduce the perception of depth may reduce eye strain and fatiguewhile still affording the viewer a pleasing three-dimensionalexperience.

As the viewer 115 is observing a constant stream of three-dimensionalscenes 103, one or more scenes that have yet to be displayed to theviewer may be stored in an output buffer 101. The scenes 103 may bearranged according to their order of presentation. A scene 103 refers toone or more three-dimensional video frames characterized by a group ofshared characteristics. For example, a group of video framesrepresenting different views of the same landscape may be characterizedas a scene. However, a near-view of an object and a far-view of anobject may represent different scenes. It is important to note that anynumber of combinations of frames may be characterized as a scene.

Before a scene 103 is presented to a viewer, it passes through twostages. The scene is first processed to determine one or morecharacteristics associated with the given scene 105. One or more scalingfactors are then determined from those characteristics 107 to be appliedto the user's pre-determined settings. The scaling factors may then betransmitted to the processor 113 as metadata 109 and applied todynamically adjust the viewer's settings, as indicated at 110. The scenemay then be presented on the display 111 using the adjusted settings asindicated at 112. This allows each scene to be presented to the viewerin such a way that the viewer's basic preferences are preserved, whilestill maintaining the visual integrity of a scene by taking into accountits particularized contents. In cases not involving re-projection themetadata can be transmitted to the capture device to make adjustments,be it our virtual camera positions in a game or a physical camera, e.g.,as used in a 3D chat example.

Before illustrating an example of the invented method, it is useful todiscuss some background regarding three-dimensional video systems.Embodiments of the present invention may be applied to re-projectionsettings for 3D video generated from 2D video by a process ofre-projection. In re-projection, left and right eye virtual views of ascene can be synthesized from regular two-dimensional images andassociated per-pixel depth information for each pixel in the images.This process can be implemented by the processor 113 as follows.

At first, the original image points are re-projected into a 3D world,utilizing the depth data for each pixel in the original image.Thereafter, these 3D space points are projected into an image plane of a“virtual” camera, which is located at a desired viewing position. Theconcatenation of re-projection (2D-to-3D) and subsequent projection(3D-to-2D) is sometimes called 3D image warping or re-projection. There-projection can be understood by comparison to the operation of “real”stereo cameras as illustrated in FIG. 1B. In “real”, high-quality stereocameras, usually one of two different methods is utilized to establishthe so-called zero parallax setting (ZPS), i.e., to choose theconvergence distance Z_(c) in the 3D scene. In the “toed-in” approach,the ZPS is chosen by a joint inward rotation of the left-eye andright-eye cameras. In the shift-sensor approach, a plane of convergencedistance Z_(c) can be established by a small shift h of the imagesensors for parallel positioned left-eye and right-eye “virtual”cameras, which are separated by a distance t_(c), as shown in FIG. 1B.Each virtual camera may be characterized by a defined focal length f,which represents a distance between the virtual camera lens and theimage sensor. This distance corresponds to a near plane distance Z_(n)to a near plane P_(n) used in some implementations described herein.

Technically, the “toed-in” approach is easier to realize in “real”stereo cameras. However, the shift-sensor approach is sometimes morepreferred for re-projection because it does not introduce unwantedvertical differences, which can be a potential source of eye strainbetween the left-eye view and the right-eye view.

Given depth information Z for each pixel at horizontal and verticalcoordinates (u,v) in the original 2D image, corresponding pixelcoordinates (u′, v′), (u″,v″) for the left-eye and right-eye views canbe generated using the shift-sensor approach according to the followingequations:

${u^{\prime} = {u - \frac{{\alpha_{u}t_{c}} + t_{hmp}}{2Z} + h}},{v^{\prime} = v},{{{for}\mspace{14mu} {the}\mspace{14mu} {left}\text{-}{eye}\mspace{14mu} {view}};}$${u^{''} = {u + \frac{{\alpha_{u}t_{c}} + t_{hmp}}{2Z} + h}},{v^{''} = v},{{for}\mspace{14mu} {the}\mspace{14mu} {right}\text{-}{eye}\mspace{14mu} {{view}.}}$

In the foregoing equations, α_(u) is a convergence angle in thehorizontal direction as seen in FIG. 1B. The term t_(hmp) is an optionaltranslational term (sometimes referred to as a head motional parallaxterm) that accounts for the actual viewing position of the viewer.

The shift h for the left-eye view and right-eye view can be related tothe convergence angle α_(u), the convergence distance Z_(c), and thehorizontal convergence angle α_(u) by the following equations:

${h = {+ \frac{\alpha_{u}t_{c}}{2Z_{c}}}},{{{for}\mspace{14mu} {the}\mspace{14mu} {left}\text{-}{eye}\mspace{14mu} {view}};}$${h = {- \frac{\alpha_{u}t_{c}}{2Z_{c}}}},{{for}\mspace{14mu} {the}\mspace{14mu} {right}\text{-}{eye}\mspace{14mu} {{view}.}}$

The processor 113 can receive the scene 103 in terms of original 2Dimages and per-pixel depth information along with per-scene defaultscale settings that can be applied to 3D video parameters such as α_(u),t_(c), Z_(c), f, and t_(hmp) or combinations (e.g., ratios) thereof. Forexample, the scale settings can represent multipliers that range between0 (for no 3D perception) and some value greater than 1 (for enhanced 3Dperception). Changing the 3D video parameter settings for the virtualcameras affects the qualitative perception of 3D video. By way ofexample, and not by way of limitation, some qualitative effects ofincreasing (+) or decreasing (−) selected 3D video parameters aredescribed in Table I below.

TABLE I Parameter +/− Screen parallax Perceived depth Object sizet_(c) + Increase Increase Constant − Decrease Decrease Constant F +Increase Increase Increase − Decrease Decrease Decrease Z_(c) + DecreaseShift toward viewer Constant − Increase Shift away from viewer Constant

In Table I, the term “screen parallax” refers to horizontal differencesbetween the left-eye and right-eye views; the term “perceived depth”refers to the apparent depth of the displayed scene as perceived by theviewer; the term “object size” refers to the apparent size of an objectdisplayed on the screen 111 as perceived by the viewer.

In some implementations the mathematical equations used above can bedescribed in terms of a near plane P_(n) and far plane P_(f) instead ofthe convergence angle α_(u) and the sensor separation t_(c). The term“near plane” refers to the closest point in a scene captured by thecamera—i.e., the image sensor. The term “far plane” refers to thefarthest point in a scene captured by the camera. No attempt is made torender anything beyond the far plane P_(f), i.e., beyond a far planedistance Z_(f), as depicted in FIG. 1B. A system using the mathematicalequations described above can select the near and far plane indirectlyby selecting the values of certain variables within the equations.Alternatively, the values of the convergence angle α_(u) and the sensorseparation t_(c) can be adjusted based on chosen near plane and farplane.

The operating requirements of a three-dimensional re-projection systemcan be described as follows: 1) selection of the near plane of a givenscene; 2) selection of the far plane of a given scene; 3) defining atransition from the near plane to the far plane for re-projection of thegiven scene. The transition, sometimes referred to as the re-projectioncurve, basically relates the amount of horizontal and vertical pixelshift to the pixel depth; 4) a method for filtering and/or weighting ofunimportant/important pixels; 5) a system for smoothing any changes to1-3 that may occur during scene transitions in order to prevent jarringcuts of depth perceived by the viewer 115. Three-dimensional videosystems also often include 6) some mechanism to allow the viewer toscale the three-dimensional effect.

Typical re-projection systems specify the above 6 requirements asfollows: 1) the scene's camera's near plane; 2) the scene's camera's farplane; 3) a transition in which pixels shift only horizontally. A fixedshift amount (typically called convergence) is adjusted down by aninversely proportionate amount to the depth value of each pixel—thedeeper or farther the pixel is the less the pixel shifts from theconvergence. This requirement can be described, e.g., by themathematical equations provided above; 4) no weighting necessary because1-3 are constant; 5) no smoothing necessary because 1-3 are constant;and 6) a slider may be used to adjust the transition, e.g., by linearlyscaling the amount a pixel will shift. This is equivalent to adding aconstant scale factor to the second (and potentially third) terms in theequations for u′ or u″ from above. Such constant scale factors could beimplemented via a user-adjustable slider that tends to move the near andfar planes (and thus the average) towards the screen plane.

This can lead to poor usage of three-dimensional space. A given scenemay be unbalanced and cause unnecessary eye fatigue. A 3D video editoror 3D game developer has to carefully construct all scenes andcinematics such that all objects within a scene are laid out correctly.

For a given three-dimensional video, there is a comfort zone 121 ofviewing that sits in an area close to the visual display. The farther aperceived image is from the screen, the more uncomfortable it is to view(for the majority of people). As such, the three-dimensional scenesettings associated with a given scene look to maximize the usage of thecomfort zone 121. While some things can be outside the comfort zone 121,it is generally desirable for the majority of what the viewer focuses onto be within the comfort zone 121. By way of example, and not by way oflimitation, the viewer could set the boundaries of the comfort zone 121,while the processor 113 could dynamically adjust scene settings suchthat usage of the comfort zone 121 is maximized for each scene.

A naïve approach to maximizing the usage of the comfort zone 121 couldinvolve setting the near plane equal to the minimum pixel depthassociated with a given scene, and setting the far plane equal to themaximum pixel depth associated with a given scene, while leavingproperties 3-6 as defined above for typical re-projection systems. Thiswould maximize the usage of the comfort zone 121, but it fails toconsider the effects of objects that fly in or out of the scene that maycause a huge shift in the three-dimensional space.

By way of example, and not by way of limitation, certain embodiments ofthe invented method may additionally take into account an average depthof the scene. The average depth of the scene could be driven towards atarget. The three-dimensional scene data may set the target for a givenscene, while allowing the user to scale how far from the target theyperceive the scene (e.g., the boundary of comfort zone).

Pseudo-code for computing such an average may be envisaged as follows:

minValue = z_Far maxValue = z_Near average = 0 For each pixel    average += pixel.depth     minValue = min( minValue, pixel.depth )    maxValue = max( maxValue, pixel.depth ) average = average /pixel.totalCount

The near plane value may be set to the minimum depth value for allpixels in the scene and the far plane may be set to the maximum depthvalue for all the pixels in the scene. The target perceived depth can bea value specified by the content creator and scaled by the user'spreference. By using the calculated average with the transition property3 from above, it is possible to calculate how far off the average scenedepth is from the target perceived depth. By way of example, and not byway of limitation, the overall perceived scene depth could then beshifted by simply adjusting convergence with the target delta (as shownin Table 1). The target delta could also be smoothed as is done for nearand far plane below. Other methods of adjusting the target depth couldalso be used such as ones that are used in 3D movies to ensureconsistent depth across scene changes. It is noted, however, that 3Dmovies do not currently provide a method for viewers to adjust thetarget scene depth.

By way of example, and not by way of limitation, one approach todetermining one or more three-dimensional characteristics associatedwith a given scene is to determine and use two important scenecharacteristics: a mean pixel depth of the scene and a standarddeviation for the pixel depth of that scene. Pseudo-code for calculatingmean and standard deviation of the pixel depth can be envisaged asfollows:

mean = 0 For each pixel     mean += pixel.depth mean = mean /pixel.totalCount variance = 0 For each pixel     variance +=(pixel.depth − mean)² standardDeviation = squareRoot( variance )

The near plane may then be set to the mean pixel depth of the sceneminus a standard deviation for the pixel depth of that scene. Likewise,the far plane may be set to the mean pixel depth of the scene plus astandard deviation for the pixel depth of that scene. If these resultsare insufficient, the re-projection system could transform the datarepresenting the scene into a frequency domain for calculation of a meanpixel depth and standard deviation for a given scene. Like in the aboveexample driving to the target depth can be done in the same manner.

To provide a method for filtering and weighting of unimportant pixels, ascene may be traversed and unimportant pixels tagged. Unimportant pixelswould likely include particle flybys and other irrelevant smallgeometries. In the context of a video game this can easily be doneduring rasterization, otherwise an algorithm for finding small clustersof depth disparities would likely be used. If a method is available totell where the user is focused the depths of the pixels nearby should beconsidered more important—the farther we get from the focus point themore unimportant the pixel. Such a method could include, withoutlimitation, determining whether a cursor or reticle is within the imageand the location therein, or by measuring rotation of the eye withfeedback from specialized glasses. Such glasses may include simplecameras directed at the wearer's eyeballs. The cameras can provideimages in which the whites of the user's eyes can be distinguished fromthe darker parts (e.g., the pupils). The eyeball rotation can bedetermined by analyzing the images to determine the location of thepupils and correlating the location to an eyeball angle. For example, acentered pupil would correspond roughly to an eyeball oriented straightahead.

In some embodiments it may be desirable to emphasize pixels within acenter portion of the display 111, since values at the edge may likelybe less important. If distance between pixels is defined to be thetwo-dimensional distance ignoring depth, then using a simple biasedweighting statistical model emphasizing such central pixels or focuspoints may be envisaged with the following pseudo code:

mean = 0 weight = 0 For each pixel    distanceFactor =(maxAllowedDistance −      pixel.distanceFromFocus) / maxAllowedDistance   distanceFactor = max(distance, 0.0)    If (pixel.isImportant( ))      mean += pixel.depth * distanceFactor       weight +=distanceFactor mean = mean / weight variance = 0 For each pixel   distanceFactor = (maxAllowedDistance −      pixel.distanceFromFocus)/ maxAllowedDistance    distanceFactor = max(distance, 0.0)    If(pixel.isImportant( ))       variance += distanceFactor * (pixel.depth −mean)² variance = variance / weight standardDeviation = squareRoot(variance )

In order to provide a system that keeps the majority of the picturewithin the comfort zone 121 the near plane, and far plane (or in themathematical equations described above the other variables) should beadjusted in addition or instead to the convergence described in theexample above. The processor 113 can be configured to implement aprocess like the one envisaged by the following pseudo code:

1- scale = viewerScale * contentScale 2- nearPlane′ = nearPlane *scale + (mean − standardDeviation) * (1 − scale) 3- farPlane′ =farPlane * scale + (mean + standardDeviation) * (1 − scale)

Both viewerScale and contentScale are values between 0 and 1 thatcontrol the rate of change. The viewer 115 adjusts the value ofviewerScale, whereas the content creators set the value of contentScale.The same smoothing can be applied to the convergence adjust above.

Since, in certain implementations, such as video games, it may bedesirable for the processor 113 to be able to drive objects within ascene to be farther or closer to the screen 111 it may be useful to adda target adjust step as such:

1- nearPlane′ = nearPlane * scale + (mean + nearShift −   standardDeviation) * (1 − scale) 2- farPlane′ = farPlane * scale +(mean + farShift +    standardDeviation) * (1 − scale)

A positive shift will tend to move the nearPlane and farPlane back intothe scene. Likewise a negative shift will move things closer.

After determining the one or more characteristics (e.g., near plane, farplane, mean pixel depth, standard deviation pixel depth, etc.) of thegiven scene 105 a set of scale factors may be determined 107. Thesescale factors may dictate how the scene is maximized within theboundaries of the user-determined comfort zone 121. Additionally, one ofthese scale factors may be used to control the rate at whichthree-dimensional settings are modified during scene transitions.

Once scale factors corresponding to the characteristics of a given sceneare determined, they may be stored as metadata 109 within thethree-dimensional scene data. The scene 103 (and its accompanyingthree-dimensional data) may be transmitted along with the metadata 109associated with that scene to the processor 113. The processor 113 maythen adjust the three-dimensional scene settings in accordance with themetadata.

It is important to note that a scene may be processed to determine scalefactors and metadata at different stages of the three-dimensional datastreaming process and is not limited to being processed subsequent toplacement in the output buffer 101. Moreover, the user-determined set ofthree-dimensional scene settings is not limited to setting theboundaries of three-dimensional projection. By way of example, and notby way of limitation, the user-determined scene settings could alsoinclude controlling the sharpness of objects within a three-dimensionalscene or the intensity of shadows within the three-dimensional scene.

Although the foregoing example is described in the context ofre-projection embodiments of the present invention are not limited tosuch implementations. The concept of scaling depth and range forre-projection can apply equally well to adjusting the input parameters,e.g., locations of virtual or real stereoscopic cameras, for real-time3D video. Adjusting the input parameters for real-time stereoscopiccontent can be implemented if the camera feeds are dynamic. FIG. 1C andFIG. 1D illustrate examples of dynamic adjustment of camera feeds inaccordance with alternative embodiments of the present invention.

As seen in FIG. 1C, the processor 113 can generate the left-eye andright-eye views of a scene 103 from three-dimensional data representingthe locations of objects and virtual stereo cameras 114A, 114B in asimulated environment 102, such as a location in a video game or virtualworld. For the purposes of example, the virtual stereo cameras may beregarded as part of a unit having two separate cameras. However,embodiments of the invention include implementations where the virtualstereo cameras are separate and not part of a unit. It is noted that thelocation and orientation of the virtual cameras 114A, 114B determineswhat is displayed in the scene. For example, suppose that the simulatedenvironment is a level of a first-person shooter (FPS) game in which anavatar 115A represents the user 115. The user controls the movements andactions of the avatar 115A through use of the processor 113 and asuitable controller 117. The processor 113 can select the location andorientation of the virtual cameras 114A, 114B in response to usercommands. If the virtual cameras are pointing at a distant object, suchas a non-player character 116, the scene may have more depth than if thecameras are pointing toward a nearby object such as non-player character118. The locations of these objects relative to the virtual cameras canall be determined by the processor from the three-dimensionalinformation generated by a physics simulator component of the game.Depths to objects that are in the cameras' fields of view can becomputed for the scene. Average depths, maximum depths, depth ranges,and the like can then be computed for the scene and these per-scenevalues can be used to select default values and/or scale factors for 3Dparameters such as a_(u), t_(c), Z_(c), f, and t_(hmp). By way ofexample, and not by way of limitation, processor 113 may implement alook-up table or function that relates specific 3D parameters tospecific combinations of per-scene values. The tabular or functionalrelationship between the 3D parameters and default per-scene valuesand/or scale factors may be determined empirically. The processor 113can then modify the individual default values and/or scale factorsaccording to the user's preferred settings.

In a variation on the embodiments depicted in FIGS. 1A-1C, it is alsopossible to implement a similar adjustment of 3D parameter settings withmotorized physical stereo cameras. For example, consider a video chatexample, e.g., as depicted in FIG. 1D. In this case first and secondusers 115, 115′ interact via respective first and second processors 113,113′, first and second 3D video cameras 114, 114′, and first and secondcontrollers 117, 117′. The possessors 113, 113′ are coupled to eachother, e.g., by a network 120, which can be a wired or wireless network,local area network (LAN), wide area network, or other communicationsnetwork. The first user's 3D video camera 114 includes a left-eye camera114A and a right-eye camera 114B. Left-eye and right-eye images of thefirst user's environment are displayed on a video display 111′ coupledto the second user's processor 113′. In a like manner, the second user's3D video camera 114′ includes left-eye and right-eye cameras 114A′,114B′. For the purposes of example, the left eye and right eye stereocameras may be physically part of a unit having two integrated cameras,e.g., separate lens units and separate sensors for the left and rightviews. However, embodiments of the invention include implementationswhere the virtual left-eye and right-eye cameras are physicallyindependent from each other and not part of a unit.

Left-eye and right-eye images of the second user's environment aredisplayed on a video display 111 coupled to the first user's processor113. The first user's processor 113 can determine per-scene 3D valuesfrom the left-eye and right-eye images. For example, two camerastypically capture color buffers. Depth information could be recoveredfrom the color buffer information for the left-eye and right-eye cameraswith a suitable depth recovery algorithm. The processor 113 can transmitthe depth information along with the images to the second user'sprocessor 113′. It is noted that the depth information may varydepending on scene content. For example, the scene captured by thecameras 114A′, 114B′ may contain objects at different depths, such asthe user 115′ and a distant object 118′. The differing depths to theseobjects within the scene can affect the average pixel depth and standarddeviation of the pixel depth for the scene.

The left-eye and right eye cameras for both the first user's camera 114and the second user's camera 114′ can be motorized so that the values ofparameter such as f, t_(c), and “toe-in” angle for the left-eye andright-eye cameras can be adjusted on the fly. The first user's canchoose initial settings for the 3D video parameters of the camera 114such as the inter-camera spacing t_(c), and/or relative horizontalrotational angles for the left-eye and right-eye cameras 114A, 114B (for“toe-in”). The second user 115′ can adjust the settings of the 3D videoparameters for the first user's camera 114 (e.g., f, t_(c), or toe-inangle) using the second controller 117′ and second processor 113 toadjust scale factors, e.g., as described above. Data representing theadjustments to the scale factors can then be transmitted to the firstprocessor 113 via the network 120. The first processor can use theadjustments to adjust the 3D video parameter settings of the firstuser's camera 114. In a similar manner, the first user 115 can adjustthe settings of the second user's 3D video camera 114. In this way, eachuser 115, 115′ can view 3D video images of the other's environment atcomfortable 3D settings.

Scaling Pixel Depth Values of User-Controlled Virtual Object inThree-Dimensional Scene

Improvements in three-dimensional image rendering have had a majorimpact in the area of interactive virtual environments that employthree-dimensional technologies. Many video games implementthree-dimensional image rendering to create virtual environments foruser-interaction. However, simulating real world physics to facilitateuser-interaction with virtual worlds is very costly and quite difficultto implement. As such, certain unwanted visual irregularities may occurduring execution of a game.

A problem arises when artifacts of the three-dimensional video result inthe user-controlled virtual objects (e.g., character and gun) topenetrate other elements in the virtual world (e.g., backgroundlandscape). When a user-controlled virtual object penetrates otherelements in the virtual world, the game's sense of realism is diminishedgreatly. In the context of a first-person shooter, the first-person'ssight may be obstructed or perhaps certain important elements may behidden from view. As such it is necessary for any program that featuresuser-controlled virtual object interaction within a three-dimensionalvirtual environment to eliminate the occurrence of these visualirregularities.

Embodiments of the present invention can be configured to scale auser-controlled virtual object pixel depth to address issues of usercontrolled virtual objects penetrating elements of a three-dimensionalscene of a virtual world. In the context of a first person shooter (FPS)video game, a likely example would be the end of the gun barrel as seenfrom the shooter's point of view.

FIGS. 2A-2B illustrate the problem of a user-controlled virtual objectpenetrating an element of the virtual world in a three-dimensional scenegenerated using re-projection. When a user-controlled virtual objectpenetrates other elements in the virtual world the game's sense ofrealism is diminished greatly. As shown in FIG. 2A in a virtualenvironment (e.g., scene) where no scaling of pixel depth values ofuser-controlled virtual objects is performed a user-controlled virtualobject 201 (e.g., a gun barrel) may penetrate another element 203 of thevirtual world (e.g., a wall) causing potential obstruction of view anddiminished sense of realism, as discussed above. In the context of afirst-person shooter, the first-person's sight may be obstructed orperhaps certain important elements (e.g., the end of the gun barrel) maybe hidden from view. Hidden elements are shown in phantom in FIG. 2A.

A common solution for two-dimensional first person video games is toscale the depth of objects in the virtual world to eliminate the visualartifacts in the two-dimensional images (or exchange the artifacts fordifferent artifacts that are not as noticeable). The scaling is usuallyapplied during rasterization of the two-dimensional video images. In thefirst person shooter example, this means that the viewer would see thetip of the gun barrel 201 regardless of if it physically is through thewall 203. The solution works well enough for two-dimensional video,however problems occur when this solution is applied tothree-dimensional video. The problem is that the scaled depth values nolonger represent real points in three dimensions with respect to therest of the two-dimensional image. Consequently, when re-projection isapplied to generate left-eye and right-eye views, the depth scalingcauses the objects to appear compressed in the depth dimension and inthe wrong location. For example, as shown in FIG. 2B, the gun barrel 201is now perceived to be “crushed” in the depth direction and locatedextremely close to the viewer when it should be a lot closer to thephysical screen. Another problem in re-projection is that the depthscaling also ends up leaving large holes in the images that are hard tofill.

Additionally scaling back the depth to the original values or rewritingthe depth values with the true depth values from the three-dimensionalscene information means that the viewer will still see the gun barrelbut it will be perceived to be behind the wall. This depth piercingeffect is discomforting because the viewer expects to still see thewall.

To solve this problem embodiments of the invention apply a second set ofscaling to the objects in the scene to place them back into theappropriate perceived location within the scene. The second scaling canbe applied after rasterization of a two-dimensional image but before orduring re-projection of the image to generate left-eye and right-eyeviews. FIG. 2C, illustrates a virtual environment (e.g., scene) wherescaling of the user-controlled virtual object pixel depth values isperformed. Here, the user-controlled virtual object 201 may come nearanother element 203 of the virtual world, but is restricted frompenetrating the element 203 through the scaling of pixel depths asdiscussed above. The second scaling limits depth values to lie between anear value N and a far value F. In essence an object may still appear tobe crushed in the depth dimension but full control can be exerted overits thickness. This is a balance, and of course the user can be providedwith control over this second scaling, e.g., as discussed above.

As such, the visual irregularities caused by penetration of theuser-controlled virtual object through an element of the virtual worldcan be eliminated or significantly reduced. To account for this problem,the program may scale pixel depth values of the user-controlled virtualobject according to the three-dimensional scene content to be presentedto the user. FIG. 3 is a flow diagram illustrating a method for scalingpixel depth values of a user-controlled virtual object in athree-dimensional scene according to an embodiment of the presentinvention.

Before a scene 103 is presented to a user, it may sit in an outputbuffer 101. These scenes 103 may be arranged according to their order ofpresentation. A scene 103 refers to one or more three-dimensional videoframes characterized by a group of shared characteristics. For example,a group of video frames representing different views of the samelandscape may be characterized as a scene. However, a near-view andfar-view of the same object may also represent different scenes. It isimportant to note that any number of combinations of frames may becharacterized as a scene.

As indicated at 133 an initial depth scaling on a two-dimensional imageof the three-dimensional scene 103. The initial depth scaling may beperformed during rasterization of the two-dimensional image using depthinformation from a depth buffer for the scene.

Before the scene 103 is presented to the user three-dimensionally, e.g.,as left-eye and right-eye views, it may be traversed to determineimportant characteristics that are critical to solving the problemdiscussed above. For a given scene 103, the minimum threshold value isfirst determined as indicated at 135. This minimum threshold valuerepresents a minimum pixel depth value that any segment of theuser-controlled virtual object must not fall below. Next, the maximumthreshold value is determined as indicated at 137. The maximum thresholdvalue represents a maximum pixel depth value that any segment of theuser-controlled virtual object must not exceed. These threshold valuesset a limit as to where a user-controlled virtual object may travelwithin a virtual environment, such that the user-controlled virtualobject is restricted from penetrating other elements in the virtualenvironment.

As the user-controlled virtual object moves within the virtual world,their pixel depth values for the virtual object are tracked and comparedto that of the threshold values determined above as indicated at 139.Whenever the pixel depth values of any segment of the user-controlledvirtual object falls below the minimum threshold value, those pixeldepths values are set to a low value as indicated at 141. By way ofexample, and not by way of limitation, this low value may be the minimumthreshold value. Alternatively, this low value may be scaled versions ofthe user-controlled virtual object pixel depth value. For example, thelow value may be determined by multiplying the pixel depth valuesfalling below the minimum threshold value by an inverse scale and thenadding the product to a minimum offset.

Whenever the pixel depth values of any segment of the user-controlledvirtual object exceeds the maximum threshold value, those pixel depthvalues are set to a high value as indicated at 143. By way of example,and not by way of limitation, this high value may be the maximumthreshold value. Alternatively, this high value may be scaled versionsof the user-controlled virtual object pixel depth values. For example,the high value may be determined by multiplying the pixel depth valueexceeding the maximum threshold value by an inverse scale andsubtracting the product from a maximum offset.

Setting the low/high value to the minimum/maximum threshold value worksespecially well for virtual objects that are thin in nature that do notrequire an enhanced perception of depth. These low/high valueseffectively shift the virtual object away from the virtual camera.However, for virtual objects that require an enhanced perception ofdepth, such as a gunsight, the scaled low/high values mentioned abovemay operate more effectively.

The minimum and maximum threshold values may be determined by theprogram prior to its execution by the processor 113. These values mayalso be determined by the processor 113 while executing the contents ofthe program. The comparison of pixel-depth values of user-controlledvirtual objects to the threshold values is completed by the processor113 during the execution of the program. Similarly, establishment of lowand high values for user-controlled virtual object pixel depthsexceeding or falling below threshold values is completed by theprocessor during execution of the program. The processor 113 may thencause the given scene to be displayed on the three-dimensional display111 using the resulting set of pixel depth values for theuser-controlled virtual object.

After the second scaling as been performed on the pixel depth values are-projection may be performed using the two-dimensional image and usingthe resulting set of pixel depth values for the user-controlled virtualobject to generate two or more views of the three-dimensional scene(e.g., left-eye and right eye views), as indicated at 145. The two ormore views may be displayed on a three-dimensional display, as indicatedat 147.

By setting any pixel depth values of user-controlled virtual objectsexceeding threshold values to low and high values, the problem ofpenetrating other virtual world elements is solved. While simulating thephysics of a virtual object's interaction with its virtual world wouldeffectively solve this issue, it is quite difficult to implement inreality. As such, the ability to scale pixel depth values ofuser-controlled virtual objects according to the method described aboveprovides a simple, cost-effective solution to our problem.

Apparatus

FIG. 4 illustrates a block diagram of a computer apparatus that may beused to implement dynamic adjustment of user-determinedthree-dimensional scene settings and/or scaling of pixel depth valuesaccording to embodiments of the present invention. The apparatus 200generally may include a processor module 201 and a memory 205. Theprocessor module 201 may include one or more processor cores. An exampleof a processing system that uses multiple processor modules, is a CellProcessor, examples of which are described in detail, e.g., in CellBroadband Engine Architecture, which is available online athttp://www-306.ibm.com/chip/techlib/techlib.nsf/techdocs/1AEEE1270EA2776387257060006E61BA/$file/CBEA_(—)01_pub.pdf,which is incorporated herein by reference.

The memory 205 may be in the form of an integrated circuit, e.g., RAM,DRAM, ROM, and the like. The memory 205 may also be a main memory thatis accessible by all of the processor modules. In some embodiments, theprocessor module 201 may have local memories associated with each core.A program 203 may be stored in the main memory 205 in the form ofprocessor readable instructions that can be executed on the processormodules. The program 203 may be configured to perform dynamic adjustmenton a set of user-determined three-dimensional scene settings. Theprogram 203 may also be configured to perform scaling of pixel depthvalues of a user-controlled virtual object in a three-dimensional scene,e.g., as described above with respect to FIG. 3. The program 203 may bewritten in any suitable processor readable language, e.g., C, C++, JAVA,Assembly, MATLAB, FORTRAN, and a number of other languages. Input data207 may also be stored in the memory. Such input data 207 may include aset of user-determined three-dimensional settings, three-dimensionalcharacteristics associated with a given scene, or scale factorsassociated with certain three-dimensional characteristics. The inputdata 207 may also include threshold values associated with athree-dimensional scene as well as pixel depth values associated with auser-controlled object. During execution of the program 203, portions ofprogram code and/or data may be loaded into the memory or the localstores of processor cores for parallel processing by multiple processorcores.

The apparatus 200 may also include well-known support functions 209,such as input/output (I/O) elements 211, power supplies (P/S) 213, aclock (CLK) 215, and a cache 217. The apparatus 200 may optionallyinclude a mass storage device 219 such as a disk drive, CD-ROM drive,tape drive, or the like to store programs and/or data. The device 200may optionally include a display unit 221 and user interface unit 225 tofacilitate interaction between the apparatus and a user. By way ofexample, and not by way of limitation, the display unit 221 may be inthe form of a 3-D ready television set that displays text, numerals,graphical symbols or other visual objects as stereoscopic images to beperceived with a pair of 3-D viewing glasses 227, which can be coupledto the I/O elements 211. Stereoscopy refers to the enhancement of theillusion of depth in a two-dimensional image by presenting a slightlydifferent image to each eye. The user interface 225 may include akeyboard, mouse, joystick, light pen, or other device that may be usedin conjunction with a graphical user interface (GUI). The apparatus 200may also include a network interface 223 to enable the device tocommunicate with other devices over a network, such as the internet.

The components of the system 200, including the processor 201, memory205, support functions 209, mass storage device 219, user interface 225,network interface 223, and display 221 may be operably connected to eachother via one or more data buses 227. These components may beimplemented in hardware, software, or firmware or some combination oftwo or more of these.

There are a number of additional ways to streamline parallel processingwith multiple processors in the apparatus. For example, in someimplementations it is possible to “unroll” processing loops, e.g., byreplicating code on two or more processor cores and having eachprocessor core implement the code to process a different piece of data.Such implementations may avoid a latency associated with setting up theloop. As applied to embodiments of the present invention, multipleprocessors could determine scale factors for different scenes inparallel. The ability to process data in parallel can also save valuableprocessing time, leading to a more efficient and streamlined system forscaling pixel depth values corresponding to one or more user-controlledvirtual objects in a three-dimensional scene. The ability to processdata in parallel can also save valuable processing time, leading to amore efficient and streamlined system for dynamic adjustment of a set ofthree-dimensional user-determined scene settings.

One example, among others of a processing system capable of implementingparallel processing on three or more processors is a cell processor.There are a number of different processor architectures that may becategorized as cell processors. By way of example, and withoutlimitation, FIG. 5 illustrates a type of cell processor. The cellprocessor 300 includes a main memory 301, a single power processorelement (PPE) 307, and eight synergistic processor elements (SPE) 311.Alternatively, the cell processor may be configured with any number ofSPEs. With respect to FIG. 3, the memory 301, PPE 307 and SPEs 311 cancommunicate with each other and with an I/O device 315 over a ring-typeelement interconnect bus 317. The memory 301 contains input data 303having features in common with the input data described above and aprogram 305 having features in common with the program described above.At least one of the SPEs 311 may include in its local store (LS) programinstructions 313 and/or a portion of the input data 303 that is to beprocessed in parallel, e.g., as described above. The PPE 307 may includein its L1 cache program instructions 309. The program instructions 309,313 may be configured to implement embodiments of the invention, e.g.,as described above with respect to FIG. 1 or FIG. 3. By way of example,and not by way of limitation, the instructions 309, 313 may havefeatures in common with the program 203 described above. Instructions309,313 and data 303 may also be stored in memory 301 for access by theSPE 311 and PPE 307 when needed.

By way of example, and not by way of limitation, the instructions 309,313 may include instructions for implementing dynamic adjustment ofuser-determine three-dimensional scene setting instructions as describedabove, with respect to FIG. 1. Alternatively, the instructions 309, 313may be configured to implement scaling of pixel depth values of auser-controlled virtual object, e.g., as described above with respect toFIG. 3.

By way of example, the PPE 307 may be a 64-bit PowerPC Processor Unit(PPU) with associated caches. The PPE 307 may include an optional vectormultimedia extension unit. Each SPE 311 includes a synergistic processorunit (SPU) and a local store (LS). In some implementations, the localstore may have a capacity of e.g., about 256 kilobytes of memory forprograms and data. The SPUs are less complex computational units thanthe PPU, in that they typically do not perform system managementfunctions. The SPUs may have a single instruction, multiple data (SIMD)capability and typically process data and initiate any required datatransfers (subject to access properties set up by a PPE) in order toperform their allocated tasks. The SPUs allow the system to implementapplications that require a higher computational unit density and caneffectively use the provided instruction set. A significant number ofSPUs in a system, managed by the PPE allows for cost-effectiveprocessing over a wide range of applications. By way of example, thecell processor may be characterized by an architecture known as CellBroadband Engine Architecture (CBEA). In CBEA-compliant architecture,multiple PPEs may be combined into a PPE group and multiple SPEs may becombined into an SPE group. For purposes of example, the cell processoris depicted as having a single SPE group and a single PPE group with asingle SPE and a single PPE. Alternatively, a cell processor can includemultiple groups of power processor elements (PPE groups) and multiplegroups of synergistic processor elements (SPE groups). CBEA-compliantprocessors are described in detail, e.g., in Cell Broadband EngineArchitecture, which is available online at:https://www-306.ibm.com/chips/techlib/techlib.nsf/techdocs/1AEEE1270EA277638725706000E61BA/$file/CBEA_(—)01_pub.pdf,which is incorporated herein by reference.

According to another embodiment, instructions for dynamic adjustment ofuser-determined three-dimensional scene settings may be stored in acomputer readable storage medium. By way of example, and not by way oflimitation, FIG. 6A illustrates an example of a non-transitory computerreadable storage medium 400 in accordance with an embodiment of thepresent invention. The storage medium 400 contains computer-readableinstructions stored in a format that can be retrieved, interpreted, andexecuted by a computer processing device. By way of example, and not byway of limitation, the computer-readable storage medium may be acomputer-readable memory, such as random access memory (RAM) or readonly memory (ROM), a computer readable storage disk for a fixed diskdrive (e.g., a hard disk drive), or a removable disk drive. In addition,the computer-readable storage medium 400 may be a flash memory device, acomputer-readable tape, a CD-ROM, a DVD-ROM, a Blu-Ray, HD-DVD, UMD, orother optical storage medium.

The storage medium 400 contains instructions for dynamic adjustment ofuser-determined three-dimensional scene settings 401. The dynamicadjustment of user-determined three-dimensional scene settinginstructions 401 may be configured to implement dynamic adjustment inaccordance with the methods described above with respect to FIG. 1. Inparticular, the dynamic adjustment instructions 401 may includedetermining three-dimensional characteristics of scene instructions 403that are used to determine certain characteristics of a given scenerelevant to optimization of that scene's three-dimensional viewsettings. The dynamic adjustment instructions 401 may further includedetermining scale factors instructions 405 configured to determine oneor more scale factors to represent certain optimization adjustments tobe made based on a given scene's characteristics.

The dynamic adjustment instructions 401 may also include adjustinguser-determined three-dimensional settings instructions 407 configuredto apply the one or more scale factors to the user-determinedthree-dimensional scene settings, such that the result is a 3-Dprojection of a scene that takes into account both user preference andinherent scene characteristics. What results is a visual representationof a scene according to the user's pre-determined settings that ismodified in accordance with certain characteristics associated with thescene, such that each user's perception of a given scene may be uniquelyoptimized.

The dynamic adjustment instructions 401 may additionally include displayscene instructions 409 configured to display a scene on a visual displayaccording to the dynamically adjusted three-dimensional scene settingsobtained above.

According to another embodiment, instructions for scaling pixel depthvalues of a user-controlled virtual object in a three-dimensional scenemay be stored in a computer readable storage medium. By way of example,and not by way of limitation, FIG. 6B illustrates an example of anon-transitory computer readable storage medium 410 in accordance withan embodiment of the present invention. The storage medium 410 containscomputer-readable instructions stored in a format that can be retrieved,interpreted, and executed by a computer processing device. By way ofexample, and not by way of limitation, the computer-readable storagemedium may be a computer-readable memory, such as random access memory(RAM) or read-only memory (ROM), a computer-readable storage disk for afixed disk drive (e.g., a hard disk drive), or a removable disk drive.In addition, the computer-readable storage medium 500 may be a flashmemory device, a computer-readable tape, a CD-ROM, a DVD-ROM, a Blu-Ray,HD-DVD, UMD, or other optical storage medium.

The storage medium 410 contains instructions for scaling pixel depthvalues of a user-controlled virtual object in a three-dimensional scene411. The instructions for scaling pixel depth values of auser-controlled virtual object in a three-dimensional scene 411 may beconfigured to implement pixel depth scaling in accordance with themethods described above with respect to FIG. 3. In particular, the pixeldepth scaling instructions 411 initial scaling instructions 412 that,when executed, perform an initial scaling of a two-dimensional image ofa three-dimensional scene. The instructions 411 may further include mayinclude determining minimum threshold of three-dimensional sceneinstructions 413 that are used to determine a minimum threshold valuethat the pixel depth values of the user-controlled virtual object maynot fall below for a particular scene. Similarly, the pixel depthscaling instructions 411 may also include determining maximum thresholdof three-dimensional scene instructions 415 that are used to determine amaximum threshold value that the pixel depth values of theuser-controlled virtual objects may not exceed for a particular scene.

The pixel depth scaling instructions 411 may also include comparingvirtual object pixel depth instructions 417 that are used to compare thepixel depths associated with the user-controlled virtual object to thethreshold values determined above. By comparing the pixel-depth valuesof the user-controlled virtual object to that of the threshold values,one can continuously track the location of the user-controlled virtualobject to ensure that it does not penetrate other virtual elements in athree-dimensional scene.

The pixel depth scaling instructions 411 may further include settingvirtual object pixel depths to low value instructions 419 that limit anypart of a virtual object's depth from falling below the minimumthreshold value. The low value assigned to the virtual object'sexceedingly low pixel depth values may be the minimum threshold valueitself, or a scaled version of the low pixel depth value, as discussedabove.

The pixel depth scaling instructions 411 may additionally includesetting virtual object pixel depths to high value instructions 421 thatlimit any part of a virtual object's depth from exceeding the maximumthreshold value. The high value assigned to the virtual object'sexceedingly high pixel depth values may be the maximum threshold valueitself, or a scaled version of the high pixel depth value, as discussedabove.

The pixel depth scaling instructions may further include re-projectioninstructions 423 that perform a re-projection on the two-dimensionalimage to produce two or more views of the three-dimensional scene usinga resulting set of pixel depth values for the user-controlled virtualobject. The pixel depth scaling instructions 411 may additionallyinclude display scene instructions 425 configured to display a scene ona visual display using the resulting set of virtual object pixel depthsettings.

As noted above, embodiments of the present invention may make use ofthree-dimensional viewing glasses. An example of three-dimensionalviewing glasses 501 in accordance with an aspect of the presentinvention are shown in FIG. 7. The glasses may include a frame 505 forholding a left LCD eyeglass lens 510 and a right LCD eyeglass lens 512.As noted above, each eyeglass lens 510 and 512 can be rapidly andselectively blackened so as to prevent the wearer from seeing throughthe lens. Left and right earphones 530 and 532 are also preferablyconnected to the frame 505. An antenna 520 for sending and receivingwireless information may also be included in or on the frame 505. Theglasses may be tracked via any means to determine if the glasses arelooking toward the screen. For example, the front of the glasses mayalso include one or more photo detectors 540 for detecting theorientation of the glasses towards the monitor.

The alternating displays of images from the video feed can be providedusing various known techniques. The visual display 111 of FIG. 1 can beconfigured to operate in a progressive scan mode for each video feedthat is shared on the screen. However embodiments of the presentinvention may also be configured to work with interlaced video, asdescribed. For a standard television monitor, such as those using aninterlaced NTSC or PAL format, the images of the two video feeds may beinterlaced and the lines of an image from one video feed may beinterleaved with the lines of an image from the other video feed. Forexample, the odd-numbered lines taken from an image from the first videofeed are displayed, and then the even-numbered lines taken from an imagefrom the second video feed are displayed.

A system-level diagram of glasses that can be used in conjunction withembodiments of the present invention is shown in FIG. 8. The glasses mayinclude a processor 602 which executes instructions from program 608stored in a memory 604. Memory 604 may also store data to be providedto, or output from, processor 602 as well as any other storageretrieval/storage element of the glasses. Processor 602, memory 604 andthe other elements of the glasses may communicate with one another overa bus 606. Such other elements may include an LCD Driver 610 whichprovides a driver signal which selectively shutters left and right LCDlens 612 and 614. The LCD Driver may shutter each left and right LCDlens individually and at different times and durations, or together atthe same time and duration.

The frequency at which the LCD lenses are shuttered may be stored inadvance in the glasses (e.g., based on the known frequencies of NTSC).Alternatively, the frequency may be selected via means of user input 616(e.g., knobs or buttons to adjust or enter the desired frequency). Yetfurther, the desired frequency as well as the initial shutter starttime, or other information indicating the time period during which theLCD lenses should be shuttered or not regardless of whether such timeperiods are at a set frequency and duration, may be transmitted to theglasses via wireless transmitter receiver 601 or any other inputelement. The wireless transmitter/receiver 601 may comprise any wirelesstransmitter, including a Bluetooth transmitter/receiver.

An audio amplifier 616 may also receive information from the wirelesstransmitter/receiver 601, namely, the left and right channels of audioto be provided to left speaker 622 or right speaker 624. The glasses mayalso include a microphone 630. The microphone 630 may be used inconnection with games providing for voice communication; the voicesignals may be transmitted to a game console or another device viawireless transmitter/receiver 601.

The glasses may also include one or more photo detectors 634. The photodetectors may be used to determine whether the glasses are orientedtowards the monitor. For example, the photo detectors may detect theintensity of light hitting the photo detectors and transmit theinformation to processor 602. If the processor detects a substantialdrop in light intensity, which may relate to the user looking away fromthe monitor, the processor may cease the shuttering of the lenses. Othermethods of determining whether the glasses (and thus user) are orientedtowards the monitor may also be used. For example, one or more camerasin lieu of photo detectors may be used and the captured images examinedby processor 602 to determine whether the glasses are oriented towardsthe monitor. Just a few possible embodiments of using such a camera mayinclude checking contrast levels to detect whether the camera is pointedat the monitor or attempting to detect brightness test patterns on themonitor. The device providing multiple feeds to the monitor may indicatethe presence of such test patterns by transmitting information toprocessor 602 via wireless transmitter/receiver 601.

It is noted that certain aspects of embodiments of the invention couldbe implemented by the glasses, e.g., by software or firmware implementedon the processor 602. For example, color contrast or correction settingsdriven by the content and scaled/adjusted by the user could beimplemented in the glasses with an extra metadata stream sent to theglasses. Additionally with improvements in wireless and LCD theprocessor 113 could broadcast left eye and right eye image data directlyto the glasses 119 thereby eliminating the need for a separate display111. Alternatively the glasses could be fed monoscopic-images andassociated pixel depth values from the display 111 or processor 113.Both of these imply that the re-projection process would actually occuron the glasses.

Although examples of implementations have been described in whichstereoscopic 3D images are viewed using passive or active 3D viewingglasses, embodiments of the invention are not limited to suchimplementations. Specifically, embodiments of the invention can beapplied to stereoscopic 3D video technologies that do not rely on headtracking or passive or active 3D-viewing glasses. Examples of such“glasses-free” stereoscopic 3D video technologies are sometimes referredto as Autostereoscopic technologies or Autostereoscopy. Examples of suchtechnologies include, but are not limited to, technologies based on theuse of lenticular lenses. A lenticular lens is an array of magnifyinglenses, designed so that when viewed from slightly different angles,different images are magnified. The different images can be chosen toprovide a three-dimensional viewing effect as a lenticular screen isviewed at different angles. The number of images generated increasesproportionally to the number of viewpoints for the screen—the moreimages used in such a system the more useful embodiments of thisinvention become to implementing morphological anti-aliasing in suchsystems.

More specifically in a lenticular lens video system, re-projectionimages of a scene from slightly different viewing angles can begenerated from an original 2D image and depth information for each pixelin the image. Using re-projection techniques, different views of thescene from progressively different viewing angles can be generated fromthe original 2D image and depth information. Images representing thedifferent views can be divided into strips and displayed in aninterlaced fashion on an autostereoscopic display having a displayscreen that lies between a lenticular lens array and viewing location.The lenses that make up the lenticular lens can be cylindricalmagnifying lenses that are aligned with the strips and generally twiceas wide as the strips. A viewer perceives different views of the scenedepending on the angle at which the screen is viewed. The differentviews can be selected to provide the illusion of depth in the scenebeing displayed.

Although the present invention has been described in considerable detailwith reference to certain preferred versions thereof, other versions arepossible. Therefore, the spirit and scope of the appended claims shouldnot be limited to the description of the preferred versions containedherein. Instead, the scope of the invention should be determined withreference to the appended claims, along with their full scope ofequivalents.

All the features disclosed in this specification (including anyaccompanying claims, abstract and drawings) may be replaced byalternative features serving the same, equivalent or similar purpose,unless expressly stated otherwise. Thus, unless expressly statedotherwise, each feature disclosed is one example only of a genericseries of equivalent or similar features. Any feature, whether preferredor not, may be combined with any other feature, whether preferred ornot. In the claims that follow, the indefinite article “A”, or “An”refers to a quantity of one or more of the item following the article,except where expressly stated otherwise. Any element in a claim thatdoes not explicitly state “means for” performing a specified function,is not to be interpreted as a “means” or “step” clause as specified in35 USC §112, ¶6. In particular, the use of “step of” in the claimsherein is not intended to invoke the provisions of 35 USC §112, ¶6.

The reader's attention is directed to all papers and documents which arefiled concurrently with this specification and which are open to publicinspection with this specification, and the contents of any papers anddocuments incorporated herein by reference.

What is claimed is:
 1. A method for dynamic adjustment of a set of predetermined three-dimensional stereo video parameter settings, comprising: includes; a) determining one or more scale factors from one or more three-dimensional depth characteristics of a particular scene content depicted within a given scene selected from a plurality of scenes in which the three-dimensional depth characteristics for different scenes of the plurality varies according to the scene content, wherein the one or more three dimensional characteristics include a rate of change of a three-dimensional characteristic; b) adjusting the set of predetermined three-dimensional stereo video parameter settings for the given scene by applying the one or more scale factors to the predetermined three-dimensional stereo video parameter settings thereby producing an adjusted set of predetermined three-dimensional stereo video parameters, wherein applying the one or more scale factors includes applying a default scale factor if the rate of change of the three-dimensional characteristic exceeds a threshold; and c) displaying the given scene on a three-dimensional stereo display using the adjusted set of predetermined three-dimensional stereo video parameters.
 2. The method of claim 1, wherein the one or more three-dimensional characteristics include a near plane and a far plane of the given scene.
 3. The method of claim 1, wherein the one or more three-dimensional characteristics include an average depth value for the given scene.
 4. The method of claim 2, wherein the near plane is determined by subtracting a scene pixel depth standard deviation from a scene pixel depth mean.
 5. The method of claim 2, wherein the far plane is determined by adding a scene pixel depth standard deviation to a scene pixel depth mean.
 6. The method of claim 2, wherein b) includes adjusting a shift amount (for convergence) for each pixel in an image of the scene according to a corresponding one of the one or more scale factors.
 7. The method of claim 1, further comprising filtering out one or more negligible pixels associated with a given scene.
 8. The method of claim 1, further comprising weighting each pixel associated with a given scene.
 9. The method of claim 1, further comprising determining one or more targets associated with a given scene.
 10. The method of claim 1, wherein c) includes determining a rate factor to control a rate at which the predetermined three-dimensional video parameters are adjusted.
 11. The method of claim 1, wherein the one or more scale factors are transmitted as metadata associated with the given scene in a stream of one or more scenes.
 12. The method of claim 1, further comprising determining the rate of change of the three-dimensional characteristic.
 13. The method of claim 1, wherein the set of predetermined three-dimensional scene settings includes a boundary of three-dimensional projection.
 14. The method of claim 1, further comprising determining a rate at which the three-dimensional characteristics change and wherein b) includes applying a default scale factor if the rate exceeds a threshold.
 15. The method of claim 1, wherein the predetermined three-dimensional video settings include stereopsis, convergence, or shadow stereopsis, inter-camera spacing, convergence distance, toe-in angle, or focal length.
 16. The method of claim 1, wherein b) includes providing signals for adjusting one or more parameters of a virtual camera used to generate one or more views of the scene.
 17. The method of claim 1, wherein b) includes providing signals for adjusting one or more parameters of a physical camera used to generate the one or more views of the scene.
 18. An apparatus for dynamic adjustment of three-dimensional settings, comprising: a processor; a memory; and computer coded instructions embodied in the memory and executable by the processor, wherein the computer coded instructions are configured to implement a method for dynamic adjustment of a set of user-determined three-dimensional scene settings, the method comprising: a) determining one or more scale factors from one or more three-dimensional depth characteristics of particular scene content depicted within a given scene selected from a plurality of scenes in which the three-dimensional depth characteristics for different scenes of the plurality varies according to the scene content, wherein the one or more three dimensional characteristics include a rate of change of a three-dimensional characteristic b) adjusting the set of predetermined three-dimensional video parameter settings for the given scene by applying the one or more scale factors to the predetermined three-dimensional video parameter settings thereby producing an adjusted set of predetermined three-dimensional video parameters, wherein applying the one or more scale factors includes applying a default scale factor if the rate at which the three-dimensional characteristics change exceeds a threshold; and c) displaying the given scene on a three-dimensional display using the adjusted set of predetermined three-dimensional video parameters.
 19. The apparatus of claim 16, further comprising a three-dimensional visual display configured to display the given scene according to the adjusted user-determined three-dimensional settings.
 20. The apparatus of claim 16, wherein b) includes providing signals configured to adjust one or more parameters of a virtual camera used to generate one or more views of the scene.
 21. The apparatus of claim 16, wherein b) includes providing signals configured to adjust one or more parameters of a physical camera used to generate the one or more views of the scene.
 22. A computer program product comprising: a non-transitory, computer-readable storage medium having computer readable program code embodied in said medium for dynamic adjustment of a set of predetermined three-dimensional stereo video parameter settings, said computer program product having: a) computer readable program code configured to determine one or more scale factors from one or more three-dimensional depth characteristics of a particular scene content depicted within a given scene selected from a plurality of scenes in which the three-dimensional depth characteristics for different scenes of the plurality varies according to the scene content, when executed, wherein the one or more three dimensional characteristics include a rate of change of a three-dimensional characteristic; b) computer readable program code configured to adjust the set of predetermined three-dimensional stereo video parameter settings for the given scene by applying the one or more scale factors to the predetermined three-dimensional stereo video parameter settings thereby producing an adjusted set of predetermined three-dimensional stereo video parameters, when executed, wherein applying the one or more scale factors includes applying a default scale factor if the rate at which the three-dimensional characteristics change exceeds a threshold; and c) computer readable program code means for displaying the given scene on a three-dimensional stereo display using the adjusted set of predetermined three-dimensional stereo video parameters, when executed. 